Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/36455
Title: Single cell hydrodynamic stretching and microsieve filtration reveal genetic, phenotypic and treatment-related links to cellular deformability
Author(s): Li, Fenfang
Cima, Igor
Vo, Jess Honganh
Tan, Min-Han
Ohl, Claus-Dieter
Issue Date: 2020
Type: Article
Language: English
URN: urn:nbn:de:gbv:ma9:1-1981185920-366873
Subjects: Cancer metastasis
Deformability
Epithelial to mesenchymal transition
TP53 genes
Microfluidic hydrodynamic stretching
Microsieve
Abstract: Deformability is shown to correlate with the invasiveness and metastasis of cancer cells. Recent studies suggest epithelial-to-mesenchymal transition (EMT) might enable cancer metastasis. However, the correlation of EMT with cancer cell deformability has not been well elucidated. Cellular deformability could also help evaluate the drug response of cancer cells. Here, we combine hydrodynamic stretching and microsieve filtration to study cellular deformability in several cellular models. Hydrodynamic stretching uses extensional flow to rapidly quantify cellular deformability and size with high throughput at the single cell level. Microsieve filtration can rapidly estimate relative deformability in cellular populations. We show that colorectal cancer cell line RKO with the mesenchymal-like feature is more flexible than the epithelial-like HCT116. In another model, the breast epithelial cells MCF10A with deletion of the TP53 gene are also significantly more deformable compared to their isogenic wildtype counterpart, indicating a potential genetic link to cellular deformability. We also find that the drug docetaxel leads to an increase in the size of A549 lung cancer cells. The ability to associate mechanical properties of cancer cells with their phenotypes and genetics using single cell hydrodynamic stretching or the microsieve may help to deepen our understanding of the basic properties of cancer progression.
URI: https://opendata.uni-halle.de//handle/1981185920/36687
http://dx.doi.org/10.25673/36455
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: DFG-Publikationsfonds 2020
Journal Title: Micromachines
Publisher: MDPI
Publisher Place: Basel
Volume: 11
Issue: 5
Original Publication: 10.3390/MI11050486
Page Start: 1
Page End: 13
Appears in Collections:Fakultät für Naturwissenschaften (OA)

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